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Zbigniew Michalewicz
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Handbook of Evolutionary Computation (Computational Intelligence Library)

by Thomas Back (Editor), David B. Fogel (Editor), Zbigniew Michalewicz (Editor)
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Many scientists and engineers now use the paradigms of evolutionary computation (genetic algorithms, evolution strategies, evolutionary programming, genetic programming, classifier systems, and combinations or hybrids thereof) to tackle problems that are either intractable or unrealistically time consuming to solve through traditional computational strategies. Recently there have been vigorous initiatives to promote cross-fertilization between the EC paradigms, and also to combine these paradigms with other approaches such as neural networks to create hybrid systems with enhanced capabilities. To address the need for speedy dissemination of new ideas in these fields, and also to assist in cross-disciplinary communications and understanding, Oxford University Press and the Institute of Physics have joined forces to create a major reference publication devoted to EC fundamentals, models, algorithms and applications. This work is intended to become the standard reference resource for the evolutionary computation community. The Handbook of Evolutionary Computation will be available in loose-leaf print form, as well as in an electronic version that combines both CD-ROM and on-line (World Wide Web) access to its contents. Regularly published supplements will be available on a subscription basis.
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  1. ISBN-10
    0750303921
  2. ISBN-13
    978-0750303927
  3. Publisher
    Oxford University Press
  4. Publication date
    April 17, 1997
  5. Language
    English
  6. Dimensions
    9.38 x 4.08 x 13 inches
  7. Print length
    988 pages
  8. See all details
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Product details

  • Publisher ‏ : ‎ Oxford University Press (April 17, 1997)
  • Language ‏ : ‎ English
  • CD-ROM ‏ : ‎ 988 pages
  • ISBN-10 ‏ : ‎ 0750303921
  • ISBN-13 ‏ : ‎ 978-0750303927
  • Item Weight ‏ : ‎ 8.83 pounds
  • Dimensions ‏ : ‎ 9.38 x 4.08 x 13 inches

About the author

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Zbigniew Michalewicz

Zbigniew Michalewicz

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Zbigniew Michalewicz is Emeritus Professor of Computer Science at the University of Adelaide in Australia. He completed his Masters degree at Technical University of Warsaw in 1974 and he received Ph.D. degree from the Institute of Computer Science, Polish Academy of Sciences, in 1981. He also holds a Doctor of Science degree in Computer Science from the Polish Academy of Science. Zbigniew Michalewicz also holds Professor positions at the Institute of Computer Science, Polish Academy of Sciences, the Polish-Japanese Institute of Information Technology, and the State Key Laboratory of Software Engineering of Wuhan University, China. He is also associated with the Structural Complexity Laboratory at Seoul National University, South Korea. He is currently Professor of Computer Science at the University of Adelaide in Australia.

From 2005 - 2013, Zbigniew Michalewicz was the co-founder and Chief Scientific Officer of SolveIT Software, a supply chain optimisation business he grew from zero to almost 180 employees and $20 million in revenue before selling the business to Schneider Electric. SolveIT Software became the 3rd fastest-growing company in Australia in 2012, as ranked by Deloitte; the company won numerous awards, and counted among its customers some of the largest corporations in the world, including Rio Tinto, BHP Billiton, and Xstrata. Zbigniew is currently working as Chief Scientist at Complexica.com

Zbigniew Michalewicz has published over 300 articles and 15 books on subjects related to heuristic methods. These include Adaptive Business Intelligence and How to Solve It: Modern Heuristics (both published by Springer). Other books include a monograph Genetic Algorithms + Data Structures = Evolution Programs (3 editions, a few translations), Winning Credibility: A guide for building a business from rags to riches, where he described his business experiences over the last years, and the most recent: Puzzle-based Learning: An Introduction to Critical Thinking, Mathematics, and Problem Solving.

For more information, see http://www.cs.adelaide.edu.au/~zbyszek

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